A review of chatgpt applications in education, marketing, software engineering, and healthcare: Benefits, drawbacks, and research directions

M Fraiwan, N Khasawneh - arXiv preprint arXiv:2305.00237, 2023 - arxiv.org
ChatGPT is a type of artificial intelligence language model that uses deep learning
algorithms to generate human-like responses to text-based prompts. The introduction of the …

Influence of artificial intelligence on customer relationship management (crm)

Q Hossain, A Hossain, MZ Nizum… - International Journal of …, 2024 - search.proquest.com
Background: Customer Relationship Management has revolutionized business
administration using Artificial Intelligence. However, it is critical to note that the degree of AI's …

[HTML][HTML] Multiple criteria decision support system for customer segmentation using a sorting outranking method

F Barrera, M Segura, C Maroto - Expert Systems with Applications, 2024 - Elsevier
For companies, customer segmentation plays a key role in improving supply chain
management by implementing appropriate marketing strategies. The objectives of this …

Sentiment analysis for e-commerce product reviews: Current trends and future directions

S Elzeheiry, WA Gab-Allah, N Mekky, M Elmogy - 2023 - preprints.org
Numerous goods and services are now offered through online platforms due to the recent
growth of online transactions like e-commerce. Users have trouble locating the product that …

Modeling the telemarketing process using genetic algorithms and extreme boosting: Feature selection and cost-sensitive analytical approach

N Ghatasheh, I Altaharwa, K Aldebei - IEEE Access, 2023 - ieeexplore.ieee.org
Currently, almost all direct marketing activities take place virtually rather than in person,
weakening interpersonal skills at an alarming pace. Furthermore, businesses have been …

InteraSSort: interactive assortment planning using large language models

SR Karra, T Tulabandhula - arXiv preprint arXiv:2311.12241, 2023 - arxiv.org
Assortment planning, integral to multiple commercial offerings, is a key problem studied in e-
commerce and retail settings. Numerous variants of the problem along with their integration …

Image Reconstruction of Electrical Capacitance Tomography Based on ADMM-Net

D Lu, L Zhang - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
This article proposes a method that combines the alternating direction method of multipliers
(ADMMs) algorithm with neural networks based on the compressed sensing principle to …

Integrating Sentinel-1 data and machine learning for effective paddy field monitoring in Cauvery Delta Zone, Tamil Nadu, India

J Niraimathi, S Saravanan - Environmental Monitoring and Assessment, 2025 - Springer
Paddy crop mapping is essential for agricultural monitoring, ensuring food security, and
enhancing resource allocation. This study observes the Cauvery Delta Zone (CDZ) …

[HTML][HTML] Impact of Environmental Conditions on Renewable Energy Prediction: An Investigation Through Tree-Based Community Learning

F Doğan, S Oyucu, DB Unsal, A Aksöz, M Vafaeipour - Applied Sciences, 2025 - mdpi.com
The real-time prediction of energy production is essential for effective energy management
and planning. Forecasts are essential in various areas, including the efficient utilization of …

[HTML][HTML] The MECOVMA Framework: Implementing Machine Learning Under Macroeconomic Volatility for Marketing Predictions

M Muth - Forecasting, 2025 - mdpi.com
The methodological framework introduced in this paper, MECOVMA, is a novel framework
that guides the application of Machine Learning specifically for marketing predictions within …